10370477
8323
Heinrich Peters
3918
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8225824
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
9752.749987151079
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.10517868292249122
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.05040735556381989
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
12697
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
21662659
description
https://api.openml.org/data/download/21662659/description.xml
-1
21662660
predictions
https://api.openml.org/data/download/21662660/predictions.arff
area_under_roc_curve
0.5476882613510521 [0.547688,0.547688]
average_cost
0
f_measure
0.8902927769133219 [0.944738,0.160584]
kappa
0.10622805603638535
kb_relative_information_score
-0.12224984714504522
mean_absolute_error
0.1036970243462579
mean_prior_absolute_error
0.12988972477049396
number_of_instances
1109 [1032,77]
precision
0.8847486535189023 [0.937083,0.183333]
predictive_accuracy
0.8963029756537421
prior_entropy
0.36380676688852276
recall
0.8963029756537421 [0.952519,0.142857]
relative_absolute_error
0.7983466323412669
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.32202022350507414
root_relative_squared_error
1.2668566133518957
total_cost
0
area_under_roc_curve
0.5618131868131868 [0.561813,0.561813]
area_under_roc_curve
0.532967032967033 [0.532967,0.532967]
area_under_roc_curve
0.5479368932038835 [0.547937,0.547937]
area_under_roc_curve
0.6055825242718448 [0.605583,0.605583]
area_under_roc_curve
0.5479368932038835 [0.547937,0.547937]
area_under_roc_curve
0.533373786407767 [0.533374,0.533374]
area_under_roc_curve
0.6104368932038835 [0.610437,0.610437]
area_under_roc_curve
0.5382281553398058 [0.538228,0.538228]
area_under_roc_curve
0.5188106796116505 [0.518811,0.518811]
area_under_roc_curve
0.470873786407767 [0.470874,0.470874]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9141934387217406 [0.962264,0.2]
f_measure
0.8811444940085716 [0.932039,0.125]
f_measure
0.8957528957528955 [0.952381,0.166667]
f_measure
0.903908028908029 [0.951923,0.285714]
f_measure
0.8957528957528955 [0.952381,0.166667]
f_measure
0.8792618705662184 [0.937198,0.133333]
f_measure
0.9101453311979628 [0.956938,0.307692]
f_measure
0.8846896346896347 [0.942308,0.142857]
f_measure
0.8631572749219808 [0.921569,0.111111]
f_measure
0.877558190601669 [0.937198,0]
kappa
0.16853932584269593
kappa
0.058181818181817814
kappa
0.12460567823343913
kappa
0.23868312757201662
kappa
0.12460567823343913
kappa
0.07083065035415313
kappa
0.2670579603815115
kappa
0.08641975308641957
kappa
0.03373231773667036
kappa
-0.06240713224368533
kb_relative_information_score
0.16556121073096772
kb_relative_information_score
-0.4602678812208041
kb_relative_information_score
0.05068722628849016
kb_relative_information_score
0.05068722628848971
kb_relative_information_score
0.050687226288490234
kb_relative_information_score
-0.23410660582496365
kb_relative_information_score
0.1456185036596412
kb_relative_information_score
-0.13917532845381214
kb_relative_information_score
-0.5189004379384156
kb_relative_information_score
-0.3597460150245022
mean_absolute_error
0.07207207207207207
mean_absolute_error
0.12612612612612611
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.11711711711711711
mean_absolute_error
0.08108108108108109
mean_absolute_error
0.10810810810810811
mean_absolute_error
0.14414414414414414
mean_absolute_error
0.11818181818181818
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1249079453399885
number_of_instances
111 [104,7]
number_of_instances
111 [104,7]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
110 [103,7]
precision
0.9059059059059058 [0.944444,0.333333]
precision
0.8888300064770652 [0.941176,0.111111]
precision
0.8852403805674834 [0.934579,0.25]
precision
0.898927498927499 [0.942857,0.333333]
precision
0.8852403805674834 [0.934579,0.25]
precision
0.8757672507672507 [0.932692,0.142857]
precision
0.9042325344212137 [0.943396,0.4]
precision
0.8780780780780781 [0.933333,0.166667]
precision
0.8708232985460709 [0.930693,0.1]
precision
0.8733391608391609 [0.932692,0]
predictive_accuracy
0.927927927927928
predictive_accuracy
0.8738738738738739
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.8828828828828829
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.8918918918918919
predictive_accuracy
0.8558558558558559
predictive_accuracy
0.8818181818181818
prior_entropy
0.3400686187404258
prior_entropy
0.3400686187404258
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.3422054374333021
recall
0.9279279279279279 [0.980769,0.142857]
recall
0.8738738738738738 [0.923077,0.142857]
recall
0.9099099099099099 [0.970874,0.125]
recall
0.9099099099099099 [0.961165,0.25]
recall
0.9099099099099099 [0.970874,0.125]
recall
0.8828828828828829 [0.941748,0.125]
recall
0.918918918918919 [0.970874,0.25]
recall
0.8918918918918919 [0.951456,0.125]
recall
0.8558558558558559 [0.912621,0.125]
recall
0.8818181818181818 [0.941748,0]
relative_absolute_error
0.5792869712572513
relative_absolute_error
1.0137521997001897
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.8861823536630264
relative_absolute_error
0.6135108602282492
relative_absolute_error
0.8180144803043321
relative_absolute_error
1.0906859737391095
relative_absolute_error
0.9461513265640358
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.24419244540685378
root_mean_squared_error
0.2684624220856097
root_mean_squared_error
0.3551424026022887
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.34222378222022665
root_mean_squared_error
0.2847473987257497
root_mean_squared_error
0.3287979746107146
root_mean_squared_error
0.3796631983009996
root_mean_squared_error
0.3437758254761643
root_relative_squared_error
1.1039599329455667
root_relative_squared_error
1.460401719976755
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.3232998577504367
root_relative_squared_error
1.1010520361384777
root_relative_squared_error
1.2713853789126714
root_relative_squared_error
1.4680693815179702
root_relative_squared_error
1.407806965131099
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
30.452120000518335
usercpu_time_millis
28.09557699947618
usercpu_time_millis
29.286610999406548
usercpu_time_millis
28.93690000018978
usercpu_time_millis
29.508714999792574
usercpu_time_millis
29.077666000375757
usercpu_time_millis
29.089895000652177
usercpu_time_millis
28.47910100081208
usercpu_time_millis
38.458750000245345
usercpu_time_millis
29.026295999756258
usercpu_time_millis_testing
1.3148300004104385
usercpu_time_millis_testing
1.2454029993023141
usercpu_time_millis_testing
1.265064999643073
usercpu_time_millis_testing
1.2588270001288038
usercpu_time_millis_testing
1.2797279996448196
usercpu_time_millis_testing
1.2931050005136058
usercpu_time_millis_testing
1.336739000180387
usercpu_time_millis_testing
1.3520470001822105
usercpu_time_millis_testing
1.3259249999464373
usercpu_time_millis_testing
1.295066999773553
usercpu_time_millis_training
29.137290000107896
usercpu_time_millis_training
26.850174000173865
usercpu_time_millis_training
28.021545999763475
usercpu_time_millis_training
27.678073000060976
usercpu_time_millis_training
28.228987000147754
usercpu_time_millis_training
27.78456099986215
usercpu_time_millis_training
27.75315600047179
usercpu_time_millis_training
27.12705400062987
usercpu_time_millis_training
37.13282500029891
usercpu_time_millis_training
27.731228999982704
wall_clock_time_millis
30.457735061645508
wall_clock_time_millis
28.10192108154297
wall_clock_time_millis
29.292583465576172
wall_clock_time_millis
29.1440486907959
wall_clock_time_millis
29.514074325561523
wall_clock_time_millis
29.085159301757812
wall_clock_time_millis
29.095888137817383
wall_clock_time_millis
28.486967086791992
wall_clock_time_millis
38.46597671508789
wall_clock_time_millis
29.032468795776367
wall_clock_time_millis_testing
1.3175010681152344
wall_clock_time_millis_testing
1.2485980987548828
wall_clock_time_millis_testing
1.2679100036621094
wall_clock_time_millis_testing
1.2619495391845703
wall_clock_time_millis_testing
1.2824535369873047
wall_clock_time_millis_testing
1.2967586517333984
wall_clock_time_millis_testing
1.3396739959716797
wall_clock_time_millis_testing
1.3554096221923828
wall_clock_time_millis_testing
1.3289451599121094
wall_clock_time_millis_testing
1.2981891632080078
wall_clock_time_millis_training
29.140233993530273
wall_clock_time_millis_training
26.853322982788086
wall_clock_time_millis_training
28.024673461914062
wall_clock_time_millis_training
27.882099151611328
wall_clock_time_millis_training
28.23162078857422
wall_clock_time_millis_training
27.788400650024414
wall_clock_time_millis_training
27.756214141845703
wall_clock_time_millis_training
27.13155746459961
wall_clock_time_millis_training
37.13703155517578
wall_clock_time_millis_training
27.73427963256836